Aitrium provides an all-in-one platform for radiotherapy data collection, analysis, and review in oncology clinical trials. The platform standardizes and automates radiation quality assurance, helping sponsors measure the impact of radiation planning quality on efficacy data without delaying database lock deadlines.
Funding
Funding not disclosed
Founders
Product
Problem
In oncology trials that include radiotherapy as part of standard treatment, radiation quality is often unmeasured and uncontrolled, introducing a confounding variable that can obscure or distort drug efficacy results. Variation in contouring, dosing, and delivery across patients adds noise that can bury real treatment effects or flatter false ones, yet most commercial trials do not mandate or validate radiation quality assurance.
Solution
Aitrium is a platform that standardizes radiotherapy data collection, analysis, and review for oncology trials, making quality assurance a routine part of every trial that includes radiation. The platform automates the entire workflow from first upload to final read, including analysis, aggregation, and automated QA scorecards, with a review environment that enables fast, efficient human oversight. Data is transferred directly from providing centers to sponsors' secure FTP channels, with Aitrium orchestrating protocol validation and audit trails without storing images itself. The platform is designed to measure radiation planning quality without requiring millions in additional spending or delaying database lock deadlines.
Target Audience
Primary customers are oncology drug sponsors running clinical trials that include radiotherapy, as well as clinical research organizations and academic cooperative groups needing standardized radiation quality assurance.
Features
- Automated QA scorecards and standardization that generate insights before any human review
- Review environment with median 98 seconds start-to-finish processing, including user review, measured across 54 production submissions
- Direct site-to-sponsor data transfer over existing secure channels, with no third-party image storage
- Desktop application for sites that validates, de-identifies, and transfers clinical trial data
- Protocol validation and audit trail orchestration without adding new data custody layers
- Security documentation designed for IT and information security teams evaluating deployment